Rohit Lal | AI and CV

About

I am currently a Computer Scientist at NASA IMPACT, where my research focuses on building and scaling AI Foundation Models for Science. I completed my MS by Research under the supervision of Dr. Amit K. Roy Chowdhury at University of California-Riverside, where my thesis explored 3D human pose estimation for the IARPA BRIAR project.

Prior this, I worked at IISc Bangalore’s Visual Computing Lab, focusing on Unsupervised Domain Adaptation and Adversarial Vulnerability in Computer Vision algorithms.

Outside of my research, I’m passionate about traveling, hiking, photography, and video editing—and I’m always up for a game of table tennis! I enjoy connecting with new people and learning their stories, so don’t hesitate to reach out. If you’d like a copy of my CV, feel free to email me at take2rohit@gmail.com

RESEARCH WORK

SELECTED PUBLICATIONS

Prithvi WxC - Foundation model for weather and climate. J Schmude , S Roy,...,Rohit Lal,..., . In. International Journal of Computer Vision (IJCV) [Paper] [Code]
STRIDE - Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation. Rohit Lal , Saketh Bachu , Yash Garg , Arindam Dutta , Calvin-Khang Ta , Hannah D. Cruz . In. Winter Conference on Applications of Computer Vision (WACV), 2025 [Project Page] [Code] [BibTex]
Prior-guided source-free domain adaptation for human pose estimation. DS Raychaudhuri , CK Ta , A Dutta , Rohit Lal , AK Roy-Chowdhury . In. International Conference on Computer Vision (ICCV), 2023 [Paper] [Code] [BibTex]
CoNMix for Source-free Single and Multi-target Domain Adaptation. Vikash Kumar* , Rohit Lal* , Himanshu Patil , Anirban Chakraborty . In. Winter Conference on Applications of Computer Vision (WACV), 2023 [Project Page]
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. Gaurav Kumar Nayak* , Ruchit Rawal* , Rohit Lal* , Himanshu Patil , Anirban Chakraborty . In. HCIS, Conference on Computer Vision and Pattern Recognition (CVPR)-2022 [Project Page]

* authors claim equal contribution

PATENTS

Navigation System for a Vehicle and for Navigation. Pandya Karan, Kotecha Prakrut, Iyer V Aadhithya, Gaikwad Ravishankar, Lal Rohit, Agrawal Rishesh and Shital Chiddarwar, Issued Dec 1, 2019, Patent no. 201921049473 [Patent File] [Video]

UnderGrad Projects

Person Follower Mobile Robot

Indian Number Plate Recognition

Solving Taxi v3 of OpenAi Gym

Self balancing Camera Platform

Word Embedding Generation using NLP

Real Time Handwritten Digit recognition

Harmonic Motion Analyser using MATLAB

Hand Gesture controlled Robot

Classifier without High Level APIs

Experiences

Indian Institute of Science (IISc), Bangalore

Project Assistant, Visual Computing Lab

Jul 2021 - Current Bengaluru, India

Currently working at Visual Computing Lab, Department of Computational and Data Sciences (CDS), IISc and conducting research in unsupervised learning methodologies and its applications in domain adaptation (DA) under the guidance of Dr. Anirban Chakraborty.

Defence Research Development Organisation (DRDO)

Computer Vision Research Intern

Jul 2020 - Sept 2020 Bengaluru, India

Collaborated with senior scientist at Centre for Artificial Intelligence & Robotics CAIR Lab, DRDO on building object detection and tracking pipeline using drone cameras which is at an altitude of 100 meters above ground. Also worked on drone imaging for pixel-wise pose-estimation and GPS coordinates extraction.

NUS - National University of Singapore

Deep Learning Research Intern (Remote)

Apr 2020 - Nov 2020 Singapore

Completed my intern under Prof. Hongliang Ren at Medical Mechatronics Lab. My task was to do tracking of gaits generated by Origami robots. This task has been done using traditional CV techniques and the next step is to incorporate various deep learning techniques for 6D pose estimation.

IEEE VNIT Student Branch

Chairman

Jul 2019 - Jul 2020 VNIT, Nagpur

IEEE VNIT Student Branch is a technical Society run by the students of VNIT. I head the council responsible for managing the Society and will be involved in the decision-making process of several initiatives in the tenure of the council.

IvLabs

Core Member

May 2018 - May 2021 VNIT, Nagpur

IvLabs is the Robotics and Innovation Society run by the students of VNIT. I taught at various IEEE workshops related to image processing, MATLAB, basic electronics, CAD, etc to a strength of more than 100 students at every workshop which promoted technical culture.

RECENT NEWS

RESEARCH WORK

SELECTED PUBLICATIONS

PATENTS

UnderGrad Projects

Person Follower Mobile Robot

Indian Number Plate Recognition

Solving Taxi v3 of OpenAi Gym

Self balancing Camera Platform

Word Embedding Generation using NLP

Real Time Handwritten Digit recognition

Harmonic Motion Analyser using MATLAB

Hand Gesture controlled Robot

Classifier without High Level APIs

Experiences

Indian Institute of Science (IISc), Bangalore

Project Assistant, Visual Computing Lab

Defence Research Development Organisation (DRDO)

Computer Vision Research Intern

NUS - National University of Singapore

Deep Learning Research Intern (Remote)

IEEE VNIT Student Branch

Chairman

IvLabs

Core Member

Software Skills

Python

PyTorch

TensorFlow

OpenCV

C/C++

MATLAB

Photoshop

Illustrator

GitHub

LaTeX

GCP

Arduino

MOOCs

Machine Learning by Andrew Ng

Neural Networks and Deep Learning

Improving Deep Neural Networks:- Hyperparameter tuning, Regularization, etc

Convolutional Neural Networks

Structuring Machine Learning Projects

Introduction to Computer Vision

Sequence Models

Multivariate Calculus, Integral and Discrete Transforms

Statistical Analysis, Probability and Queuing Theory